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The development of digital agriculture or smart farming highlights the importance of data and data exchange. This chapter discusses how to achieve data standardization as a critical success factor in agricultural decision-making. It emphasizes the importance of starting from understanding business processes and decision-making steps. The chapter reviews a reference architecture that has been developed in the IoF2020 project to support the interoperability, replicability and re-use of standards and components for integral decision-making in agriculture.
Price: $32.50
Publisher: Burleigh Dodds Science Publishing
Imprint: Burleigh Dodds Science Publishing
Series: Burleigh Dodds Series in Agricultural Science
Publication Date:
27 April 2020
ISBN: 9781786767257
Format: eBook
BISACs:
TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture
1 Introduction 2 Business process modelling to identify data requirements 3 Data flows for a particular process: the example of variable rate fertilization 4 Linking platforms and software 5 Creating a reference architecture for interoperability, replicability and re-use 6 Key elements in data management 7 Conclusions 8 Where to look for further information 9 References